277834
1
Jan van Rijn
4238
Supervised Classification
predictive_accuracy
1194
weka.RandomSubSpace_REPTree(4)
2055
weka.classifiers.meta.RandomSubSpace -- -P 0.5 -S 1 -num-slots 1 -I 80 -W weka.classifiers.trees.REPTree -- -M 2 -V 0.001 -N 3 -S 1 -L -1 -I 0.0
M
2
1077
V
0.001
1077
N
3
1077
S
1
1077
L
-1
1077
I
0.0
1077
P
0.5
1194
S
1
1194
num-slots
1
1194
I
80
1194
W
weka.classifiers.trees.REPTree
1194
weka
weka_3.7.12
398
wap.wc
https://www.openml.org/data/download/52510/wap.wc.arff
-1
932577
description
https://api.openml.org/data/download/932577/weka_generated_run2076611930460309878.xml
-1
932580
model_readable
https://api.openml.org/data/download/932580/WekaModel_weka.classifiers.meta.RandomSubSpace474135467595182955.model
-1
932579
model_serialized
https://api.openml.org/data/download/932579/WekaSerialized_weka.classifiers.meta.RandomSubSpace5007601421331521407.model
-1
932578
predictions
https://api.openml.org/data/download/932578/weka_generated_predictions4376930449715930613.arff
area_under_roc_curve
0.969325 [0.823184,1,0.93772,0.932105,0.690849,0.972304,0.997855,0.913195,0.864946,0.888215,0.972479,0.99083,0.922737,0.997547,0.994811,0.999015,0.876171,1,0.953104,0.999755]
average_cost
0
f_measure
0.725733 [0,0.987654,0.063768,0.495913,0,0.737566,0.926903,0.200393,0,0,0.622196,0.723005,0.605325,0.872598,0.880388,0.853594,0.015267,0.984,0.639101,0.919631]
kappa
0.73135
kb_relative_information_score
9573.109003
mean_absolute_error
0.049454
mean_prior_absolute_error
0.089924
number_of_instances
15600 [150,760,330,540,50,1960,3410,440,180,110,910,400,1680,650,910,970,130,370,1300,350]
os_information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
precision
0.749527 [0,0.97561,0.733333,0.938144,0,0.610851,0.872027,0.73913,0,0,0.672194,0.966527,0.601765,0.811921,0.863636,0.749221,1,0.971053,0.668346,0.853301]
predictive_accuracy
0.762115
prior_entropy
3.738083
recall
0.762115 [0,1,0.033333,0.337037,0,0.930612,0.98915,0.115909,0,0,0.579121,0.5775,0.608929,0.943077,0.897802,0.991753,0.007692,0.997297,0.612308,0.997143]
relative_absolute_error
0.549952
root_mean_prior_squared_error
0.211967
root_mean_squared_error
0.140262
root_relative_squared_error
0.661718
scimark_benchmark
1360.277112 [813.9246558745155, 1010.1992026725918, 543.1167552027886, 1106.0927691431245, 3328.0521768167096]
total_cost
0
usercpu_time_millis
1882810
usercpu_time_millis_testing
33330
usercpu_time_millis_training
1849480
area_under_roc_curve
0.972928 [0.948387,1,0.96875,0.911258,0.522581,0.972426,1,0.949669,0.974194,0.974194,0.971233,0.998355,0.933036,0.994247,0.999244,1,0.890323,1,0.942442,1]
area_under_roc_curve
0.966037 [0.665584,1,0.904139,0.809272,0.0,0.979639,1,0.850329,0.928571,1,0.982615,0.986842,0.885268,0.997778,0.99863,1,1,1,0.986552,0.996711]
area_under_roc_curve
0.962388 [0.545455,1,0.972039,0.868874,0.0,0.990012,1,0.802649,0.538961,0.993548,0.981859,1,0.972768,1,0.996575,1,0.477419,1,0.928456,1]
area_under_roc_curve
0.974637 [0.75,1,0.960526,0.94702,0.670968,0.974265,1,0.965461,0.864516,1,0.988662,0.963816,0.921287,0.998889,1,1,0.954839,1,0.978483,1]
area_under_roc_curve
0.971077 [0.756494,1,0.995643,0.966887,0.612903,0.979255,0.998071,0.904636,0.993548,0.993548,0.960959,1,0.937791,0.999041,0.996977,1,1,1,0.920925,1]
area_under_roc_curve
0.977054 [0.814935,1,0.997821,0.948344,0.0,0.980882,0.999518,0.895364,0.974194,1,0.988662,0.998355,0.938393,0.997124,0.992441,1,0.870968,1,0.947283,1]
area_under_roc_curve
0.966585 [0.818182,1,0.981908,0.989404,0.0,0.933456,0.997348,0.886513,0.96129,0.877419,0.986395,0.996711,0.867411,1,1,1,0.883871,1,0.976331,0.998355]
area_under_roc_curve
0.977944 [1,1,0.945534,0.974834,0.0,0.972059,0.999518,0.899671,0.756494,0.916129,0.980348,0.995066,0.971223,1,0.998488,1,0.780645,1,0.947283,1]
area_under_roc_curve
0.980192 [1,1,0.87146,0.998675,0.0,0.991176,1,0.985197,0.769481,0.496774,0.989726,0.996711,0.941176,0.997124,0.996977,1,0.987097,1,0.975256,1]
area_under_roc_curve
0.974343 [0.76129,1,0.936819,0.935556,0.0,0.985401,1,0.921053,0.928571,0.819355,0.97808,0.976974,0.958104,1,0.998488,1,0.88961,1,0.920387,1]
area_under_roc_curve
0.970356 [0.787097,1,0.972039,0.988079,0.0,0.976838,0.995986,0.833882,0.909091,1,0.956916,0.996711,0.909821,1,1,1,0.864516,1,0.938139,0.998355]
area_under_roc_curve
0.978018 [0.883871,1,0.901961,0.933775,0.948387,0.982721,0.999759,0.932566,0.837662,0.864516,0.984247,1,0.966991,0.995556,0.95616,1,0.916129,1,0.974718,1]
area_under_roc_curve
0.963228 [1,1,0.945534,0.972185,0.0,0.959662,0.99783,0.976974,0.977273,0.581169,0.980137,1,0.884469,0.995556,0.995465,1,0.96129,1,0.896181,1]
area_under_roc_curve
0.979306 [0.980519,1,0.915033,0.986755,0.0,0.977574,0.999764,0.939145,0.974194,0.993506,0.953137,0.998355,0.92975,0.998082,0.996977,0.99863,0.722581,1,0.986552,1]
area_under_roc_curve
0.961745 [0.535484,1,0.934641,0.92053,0.683871,0.966176,0.999036,0.905298,0.814935,0.993548,0.961451,1,0.862886,1,1,0.999315,1,1,0.973104,1]
area_under_roc_curve
0.978942 [0.837662,1,0.993464,0.904636,0.0,0.989338,1,0.934211,0.977273,0.929032,0.959184,0.976974,0.955988,1,0.992441,1,0.929032,1,0.959656,1]
area_under_roc_curve
0.967488 [0.814935,1,0.884868,0.733775,0.0,0.976103,0.999277,0.933775,0.877419,0.8,0.953137,0.981908,0.934821,1,1,1,1,1,0.983324,1]
area_under_roc_curve
0.964159 [0.795455,1,0.793028,0.862252,0.0,0.947426,0.998554,0.858553,0.993548,1,0.958428,0.995066,0.922133,1,0.998488,0.999315,1,1,0.964497,1]
area_under_roc_curve
0.976018 [0.916129,1,0.965461,0.904636,0.0,0.983088,0.998554,0.839735,0.974026,0.993548,0.981104,0.988487,0.947524,1,0.999244,0.996575,0.696774,1,0.973642,1]
area_under_roc_curve
0.964158 [0.63961,1,0.797386,0.896667,0.0,0.940074,0.998312,0.972039,0.954545,0.8,0.970522,1,0.923402,1,0.992441,1,0.993506,1,0.97418,1]
area_under_roc_curve
0.979322 [1,1,0.96732,0.977483,0.0,0.969853,1,0.809211,0.795455,1,0.988662,1,0.962336,1,0.988662,0.995205,0.941558,1,0.982249,1]
area_under_roc_curve
0.97257 [1,1,0.909539,0.956291,0.43871,0.975735,0.999518,0.985197,0.967532,0.645161,0.951625,1,0.939061,1,0.998488,1,0.754839,1,0.967187,1]
area_under_roc_curve
0.980068 [1,1,0.965142,0.940397,0.0,0.983456,0.996143,0.932566,0.944805,0.993548,0.963719,0.976974,0.937368,0.998889,1,1,0.983766,1,0.97418,1]
area_under_roc_curve
0.959653 [0.883871,1,0.969499,0.872848,0.0,0.947059,0.984812,0.75,0.840909,0.76129,0.996221,1,0.939907,0.996165,0.993953,1,1,1,0.909091,1]
area_under_roc_curve
0.968545 [0.935484,1,0.877996,0.97351,0.322581,0.969118,0.997107,0.919205,0.905844,1,0.975057,0.998355,0.921287,1,0.996977,0.99863,1,1,0.942442,1]
area_under_roc_curve
0.967755 [0.837662,1,0.950658,0.892222,0.0,0.981618,0.999518,0.917763,0.792208,0.683871,0.989418,1,0.909437,0.997124,0.999244,0.998488,0.503226,1,0.981173,1]
area_under_roc_curve
0.965351 [0.707792,1,0.943355,0.953642,0.0,0.976181,1,0.892715,0.866883,0.993548,0.972789,0.998355,0.858231,0.998082,1,0.997732,0.83871,1,0.976869,1]
area_under_roc_curve
0.975138 [0.555195,1,0.982571,0.943333,0.0,0.981618,0.993973,0.934211,0.929032,1,0.966742,0.990132,0.948794,0.997124,1,1,0.903226,1,0.972028,1]
area_under_roc_curve
0.967373 [0.716129,1,0.896382,0.996026,0.0,0.94375,0.996866,0.908609,0.957792,1,0.958428,1,0.90986,1,1,1,0.832258,1,0.959656,1]
area_under_roc_curve
0.963634 [0.779221,1,0.932566,0.952318,0.0,0.961765,0.997589,0.935855,0.831169,1,0.950869,0.978618,0.903089,1,1,0.99726,0.974026,1,0.920925,1]
area_under_roc_curve
0.969142 [1,1,0.949891,0.938889,0.0,0.968015,0.997348,0.985197,0.941558,0.529032,0.985639,0.807566,0.925942,1,0.99863,1,0.909091,1,0.956428,1]
area_under_roc_curve
0.968695 [0.658065,1,0.955592,0.965556,0.929032,0.956985,1,0.911184,0.811688,0.825806,0.973545,1,0.896318,1,1,0.99093,1,1,0.981711,1]
area_under_roc_curve
0.962107 [0.580645,1,0.943355,0.960265,0.0,0.984559,0.999036,0.876645,0.909091,1,0.954649,0.949013,0.910284,1,1,0.993151,0.451299,1,0.939215,0.996711]
area_under_roc_curve
0.972115 [0.787097,1,0.917211,0.855629,0.0,0.991912,1,0.942434,0.87013,1,0.966742,0.995066,0.914515,0.994247,0.998488,1,0.96129,1,0.949973,1]
area_under_roc_curve
0.971661 [0.832258,1,1,0.943046,0.0,0.965441,1,0.955592,0.717532,0.516129,0.975057,0.924342,0.942869,1,1,1,1,1,0.957504,1]
area_under_roc_curve
0.984052 [1,1,0.962171,0.968889,0.0,0.980023,1,0.950658,0.928571,1,0.984883,0.888158,0.967837,1,0.999244,1,0.993548,1,0.977945,1]
area_under_roc_curve
0.96971 [0.928571,1,0.980392,0.952318,0.0,0.993085,0.992044,0.85298,0.717532,0.716129,0.97808,1,0.925942,0.99233,0.996977,1,1,1,0.941366,1]
area_under_roc_curve
0.964447 [0.782468,1,0.884868,0.87,0.0,0.952941,0.996625,0.998675,0.925325,0.883871,0.976568,1,0.903936,0.998889,0.972789,0.998488,1,1,0.966649,1]
area_under_roc_curve
0.966667 [0.717532,1,0.962171,0.966887,0.0,0.967647,0.998554,0.880795,0.857143,0.935484,0.959184,1,0.910284,0.998889,0.997732,0.996575,0.725806,1,0.965573,1]
area_under_roc_curve
0.968807 [0.993506,1,0.957237,0.923179,0.0,0.984559,0.989151,0.976974,0.87013,1,0.967498,0.998355,0.867118,0.998889,0.997945,0.99726,0.980645,1,0.951049,1]
area_under_roc_curve
0.980243 [0.806452,1,0.980392,0.887778,0.0,0.975,0.997589,0.952303,0.915584,0.980645,0.986395,1,0.964875,0.997778,1,0.997732,0.964286,1,0.97149,1]
area_under_roc_curve
0.975054 [0.987097,1,0.927632,0.983333,0.916129,0.977941,0.994455,0.944371,0.863636,1,0.980348,1,0.913246,1,0.998488,1,1,1,0.956966,1]
area_under_roc_curve
0.982856 [0.645161,1,0.989107,0.984444,0.0,0.988235,0.999518,0.955592,0.915584,1,0.991686,0.998355,0.956411,0.995556,0.998488,1,0.944805,1,0.952125,1]
area_under_roc_curve
0.971988 [0.651613,1,0.997821,0.988889,0.0,0.970419,0.999759,0.973684,0.730519,1,0.966742,1,0.903936,0.997124,0.98715,1,0.516129,1,0.986014,1]
area_under_roc_curve
0.976351 [0.63871,1,0.949013,0.967778,0.0,0.994118,0.996866,0.837171,0.86039,1,0.981859,1,0.949217,1,1,1,0.929032,1,0.947821,1]
area_under_roc_curve
0.972123 [0.851613,1,0.925987,0.94,0.909677,0.977334,0.997107,0.9375,0.74026,0.909677,0.992466,0.996711,0.938214,0.996667,0.993197,1,0.993506,1,0.935987,1]
area_under_roc_curve
0.973227 [0.863636,1,0.960784,0.961589,0.0,0.984249,0.999036,0.921854,0.905844,0.96129,0.956916,0.975329,0.895472,0.999041,0.999244,1,0.96129,1,0.974718,1]
area_under_roc_curve
0.975182 [0.970779,1,0.944079,0.975556,0.0,0.972059,0.999518,0.969536,0.766234,0.593548,0.982615,1,0.924249,1,0.996221,1,0.993548,1,0.972566,1]
area_under_roc_curve
0.975725 [0.951299,1,0.947712,0.994702,0.0,0.985662,0.992768,0.908609,0.754839,0.915584,0.976568,1,0.927634,0.998889,0.998488,1,0.806452,1,0.965573,1]
area_under_roc_curve
0.967444 [0.850649,1,0.833882,0.982781,0.0,0.966912,1,0.930921,0.883871,0.857143,0.956916,1,0.899281,0.996667,0.972789,0.999315,0.954839,1,0.979021,1]
area_under_roc_curve
0.974114 [1,1,0.969499,0.947778,0.0,0.984191,0.999518,0.988487,0.847403,1,0.973545,1,0.861617,1,0.981104,1,1,1,0.985476,1]
area_under_roc_curve
0.961382 [0.4,1,0.989107,0.884444,0.9,0.960662,0.997589,0.97351,0.655844,1,0.983371,1,0.903512,1,0.990174,1,0.780645,1,0.937601,1]
area_under_roc_curve
0.967595 [0.922581,1,0.901961,0.917778,0.632258,0.965441,1,0.983553,0.987013,1,0.950869,1,0.866695,1,0.995465,1,0.877419,1,0.98709,1]
area_under_roc_curve
0.973744 [1,1,0.947712,0.92,0.0,0.983096,1,0.949013,0.883117,0.6,0.986301,0.996711,0.941176,0.997124,0.960695,1,1,1,0.94029,1]
area_under_roc_curve
0.979449 [0.890323,1,0.939145,0.95,0.0,0.986765,1,0.929276,0.665584,1,0.971277,1,0.962759,1,0.99093,0.997945,1,1,0.973642,1]
area_under_roc_curve
0.971548 [0.896774,1,0.891068,0.916667,0.916129,0.92816,1,0.873355,0.925325,1,0.969766,1,0.938637,0.995556,0.998488,0.99863,0.996753,1,0.997848,1]
area_under_roc_curve
0.96637 [0.4,1,0.989107,0.957778,0.541935,0.963888,0.999764,0.921053,0.863636,0.935484,0.972789,0.996711,0.947524,0.997778,0.998488,1,1,1,0.894029,1]
area_under_roc_curve
0.966602 [0.63871,1,0.972039,0.971111,0.709677,0.987868,0.999759,0.901987,0.762987,1,0.951625,1,0.878121,1,0.997732,1,0.574194,1,0.991931,1]
area_under_roc_curve
0.961015 [0.685065,1,0.956427,0.977483,0.825806,0.932353,0.994214,0.958882,0.864516,0.593548,0.987906,1,0.922133,0.996667,0.99863,0.99863,0.554839,1,0.934373,1]
area_under_roc_curve
0.966859 [0.441558,1,0.971678,0.94702,0.903226,0.973529,0.999518,0.879934,0.903226,1,0.973545,1,0.926365,0.997124,1,1,0.851613,1,0.936525,1]
area_under_roc_curve
0.960133 [0.850649,1,0.843137,0.936667,0.774194,0.96773,0.999518,0.861842,0.698052,0.896774,0.960695,1,0.905628,0.995556,0.996977,1,0.819355,1,0.941366,1]
area_under_roc_curve
0.95886 [0.905844,1,0.873638,0.948889,0.0,0.993015,0.993009,0.839735,0.96129,0.606452,0.980348,1,0.889547,0.995206,1,0.99726,0.720779,1,0.903174,1]
area_under_roc_curve
0.974725 [0.912338,1,0.993464,0.918889,0.787097,0.973162,0.998554,0.942434,0.922581,0.877419,0.973545,0.998355,0.906052,0.999041,0.996977,1,0.948387,1,0.991931,1]
area_under_roc_curve
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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kappa
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
100.766881
kb_relative_information_score
96.43543
kb_relative_information_score
92.9877
kb_relative_information_score
93.421417
kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
99.406904
kb_relative_information_score
99.25827
kb_relative_information_score
97.889826
kb_relative_information_score
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kb_relative_information_score
94.363764
kb_relative_information_score
97.011311
kb_relative_information_score
99.506928
kb_relative_information_score
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kb_relative_information_score
98.403022
kb_relative_information_score
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kb_relative_information_score
95.486216
kb_relative_information_score
98.679641
kb_relative_information_score
99.140617
kb_relative_information_score
94.444854
kb_relative_information_score
93.530169
kb_relative_information_score
94.43288
kb_relative_information_score
94.066287
kb_relative_information_score
95.605469
kb_relative_information_score
94.744996
kb_relative_information_score
90.58726
kb_relative_information_score
97.911854
kb_relative_information_score
97.820126
kb_relative_information_score
96.82438
kb_relative_information_score
92.453731
kb_relative_information_score
92.907541
kb_relative_information_score
93.657678
kb_relative_information_score
92.387206
kb_relative_information_score
97.393845
kb_relative_information_score
91.219779
kb_relative_information_score
97.359566
kb_relative_information_score
99.182348
kb_relative_information_score
90.449619
kb_relative_information_score
95.037206
kb_relative_information_score
94.222289
kb_relative_information_score
94.316816
kb_relative_information_score
95.562296
kb_relative_information_score
94.922695
kb_relative_information_score
95.543348
kb_relative_information_score
93.979431
kb_relative_information_score
95.828729
kb_relative_information_score
94.254164
kb_relative_information_score
93.004168
kb_relative_information_score
91.758879
kb_relative_information_score
96.345367
kb_relative_information_score
94.404514
kb_relative_information_score
97.52739
kb_relative_information_score
94.498258
kb_relative_information_score
97.192064
kb_relative_information_score
95.423795
kb_relative_information_score
91.706501
kb_relative_information_score
91.596902
kb_relative_information_score
93.620373
kb_relative_information_score
93.693574
kb_relative_information_score
93.96315
kb_relative_information_score
98.782817
kb_relative_information_score
95.553182
kb_relative_information_score
96.925661
kb_relative_information_score
98.807058
mean_absolute_error
0.050263
mean_absolute_error
0.048683
mean_absolute_error
0.049078
mean_absolute_error
0.049547
mean_absolute_error
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mean_absolute_error
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0.089907
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0.089905
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0.089933
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0.089881
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0.089986
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0.08997
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0.089927
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0.089896
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0.089899
mean_prior_absolute_error
0.089913
mean_prior_absolute_error
0.089894
mean_prior_absolute_error
0.089909
mean_prior_absolute_error
0.089927
mean_prior_absolute_error
0.089881
mean_prior_absolute_error
0.089966
mean_prior_absolute_error
0.089859
mean_prior_absolute_error
0.089931
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0.089879
mean_prior_absolute_error
0.089889
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0.089966
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0.089898
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0.08997
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0.089964
mean_prior_absolute_error
0.090058
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mean_prior_absolute_error
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mean_prior_absolute_error
0.089947
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0.089919
mean_prior_absolute_error
0.090013
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0.089893
mean_prior_absolute_error
0.089897
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0.089918
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0.089904
mean_prior_absolute_error
0.090058
mean_prior_absolute_error
0.089867
mean_prior_absolute_error
0.089974
mean_prior_absolute_error
0.089958
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0.089984
mean_prior_absolute_error
0.09001
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0.089996
mean_prior_absolute_error
0.089897
mean_prior_absolute_error
0.089918
mean_prior_absolute_error
0.089994
mean_prior_absolute_error
0.089996
mean_prior_absolute_error
0.090015
mean_prior_absolute_error
0.089968
mean_prior_absolute_error
0.090013
mean_prior_absolute_error
0.089914
mean_prior_absolute_error
0.089994
mean_prior_absolute_error
0.090001
mean_prior_absolute_error
0.089938
mean_prior_absolute_error
0.089879
mean_prior_absolute_error
0.089963
mean_prior_absolute_error
0.089838
mean_prior_absolute_error
0.090012
number_of_instances
156 [1,7,4,5,1,20,34,5,1,1,10,4,16,7,9,10,1,4,13,3]
number_of_instances
156 [2,8,3,5,0,19,35,4,2,1,9,4,16,6,10,10,1,4,13,4]
number_of_instances
156 [2,8,4,5,0,19,34,5,2,1,9,4,16,7,10,10,1,3,13,3]
number_of_instances
156 [2,8,4,5,1,20,34,4,1,1,9,4,17,6,10,10,1,3,13,3]
number_of_instances
156 [2,7,3,5,1,19,34,5,1,1,10,4,17,7,9,9,1,4,13,4]
number_of_instances
156 [2,8,3,5,0,20,34,5,1,1,9,4,16,7,9,10,1,4,13,4]
number_of_instances
156 [2,8,4,5,0,20,34,4,1,1,9,4,16,7,10,10,1,3,13,4]
number_of_instances
156 [2,8,3,5,0,20,34,4,2,1,9,4,17,7,9,10,1,3,13,4]
number_of_instances
156 [1,8,3,5,0,20,34,4,2,1,10,4,17,7,9,10,1,4,13,3]
number_of_instances
156 [1,8,3,6,0,19,34,4,2,1,9,4,17,6,9,10,2,4,13,4]
number_of_instances
156 [1,8,4,5,0,20,35,4,2,1,9,4,16,7,9,10,1,3,13,4]
number_of_instances
156 [1,8,3,5,1,20,34,4,2,1,10,4,17,6,9,9,1,4,13,4]
number_of_instances
156 [1,8,3,5,0,19,34,4,2,2,10,4,17,6,9,10,1,4,13,4]
number_of_instances
156 [2,8,3,5,0,20,35,4,1,2,9,4,17,7,9,10,1,3,13,3]
number_of_instances
156 [1,7,3,5,1,20,34,5,2,1,9,4,17,7,9,10,1,4,13,3]
number_of_instances
156 [2,7,3,5,0,20,34,4,2,1,9,4,17,7,9,10,1,4,13,4]
number_of_instances
156 [2,8,4,5,0,20,34,5,1,1,9,4,16,7,9,10,1,3,13,4]
number_of_instances
156 [2,8,3,5,0,20,34,4,1,1,9,4,17,7,9,10,1,4,13,4]
number_of_instances
156 [1,8,4,5,0,20,34,5,2,1,9,4,17,6,9,10,1,4,13,3]
number_of_instances
156 [2,8,3,6,0,20,34,4,2,1,9,4,17,6,9,10,2,3,13,3]
number_of_instances
156 [1,8,3,5,0,20,34,4,2,2,9,4,17,6,9,10,2,3,13,4]
number_of_instances
156 [1,8,4,5,1,20,34,4,2,1,9,4,17,6,9,9,1,4,13,4]
number_of_instances
156 [1,8,3,5,0,20,34,4,2,1,9,4,17,6,9,10,2,4,13,4]
number_of_instances
156 [1,8,3,5,0,20,34,4,2,1,9,4,17,7,9,10,1,4,13,4]
number_of_instances
156 [1,7,3,5,1,20,34,5,2,1,9,4,17,7,9,10,1,4,13,3]
number_of_instances
156 [2,7,4,6,0,20,34,4,2,1,9,4,17,7,9,9,1,4,13,3]
number_of_instances
156 [2,8,3,5,0,19,34,5,2,1,9,4,17,7,9,9,1,4,13,4]
number_of_instances
156 [2,8,3,6,0,20,34,4,1,1,9,4,17,7,9,10,1,4,13,3]
number_of_instances
156 [1,8,4,5,0,20,34,5,2,1,9,4,17,6,9,10,1,4,13,3]
number_of_instances
156 [2,8,4,5,0,20,34,4,2,1,9,4,17,6,9,10,2,3,13,3]
number_of_instances
156 [1,8,3,6,0,20,34,4,2,1,9,4,17,6,10,9,2,3,13,4]
number_of_instances
156 [1,7,4,6,1,20,34,4,2,1,9,4,17,6,9,9,1,4,13,4]
number_of_instances
156 [1,8,3,5,0,20,34,4,2,1,9,4,17,6,9,10,2,4,13,4]
number_of_instances
156 [1,8,3,5,0,20,34,4,2,1,9,4,17,7,9,10,1,4,13,4]
number_of_instances
156 [1,8,4,5,0,20,34,4,2,1,9,4,17,6,10,10,1,4,13,3]
number_of_instances
156 [2,7,4,6,0,19,35,4,2,1,9,4,17,7,9,9,1,4,13,3]
number_of_instances
156 [2,8,3,5,0,19,34,5,2,1,9,4,17,7,9,9,1,4,13,4]
number_of_instances
156 [2,7,4,6,0,20,34,5,2,1,9,4,17,6,9,9,1,4,13,3]
number_of_instances
156 [2,8,4,5,0,20,34,5,2,1,9,4,17,6,9,10,1,3,13,3]
number_of_instances
156 [2,8,4,5,0,20,34,4,2,1,9,4,17,6,10,10,1,3,13,3]
number_of_instances
156 [1,8,3,6,0,20,34,4,2,1,9,4,17,6,9,9,2,4,13,4]
number_of_instances
156 [1,7,4,6,1,20,34,5,2,1,9,4,17,6,9,10,1,3,13,3]
number_of_instances
156 [1,7,3,6,0,20,34,4,2,1,9,4,17,6,9,10,2,4,13,4]
number_of_instances
156 [1,8,3,6,0,19,34,4,2,1,9,4,17,7,9,10,1,4,13,4]
number_of_instances
156 [1,8,4,6,0,20,34,4,2,1,9,4,17,6,9,10,1,4,13,3]
number_of_instances
156 [1,7,4,6,1,19,34,4,2,1,10,4,17,6,9,9,2,4,13,3]
number_of_instances
156 [2,8,3,5,0,19,34,5,2,1,9,4,17,7,9,9,1,4,13,4]
number_of_instances
156 [2,7,4,6,0,20,34,5,2,1,9,4,17,6,9,9,1,4,13,3]
number_of_instances
156 [2,8,3,5,0,20,34,5,1,2,9,4,17,6,9,10,1,3,13,4]
number_of_instances
156 [2,8,4,5,0,20,34,4,1,2,9,4,17,6,9,10,1,4,13,3]
number_of_instances
156 [2,8,3,6,0,20,34,4,2,1,9,4,17,6,9,9,1,4,13,4]
number_of_instances
156 [1,7,3,6,1,20,34,5,2,1,9,4,17,7,9,10,1,3,13,3]
number_of_instances
156 [1,7,3,6,1,20,34,4,2,1,9,4,17,6,9,10,1,4,13,4]
number_of_instances
156 [1,7,3,6,0,19,34,4,2,1,10,4,17,7,9,10,1,4,13,4]
number_of_instances
156 [1,8,4,6,0,20,34,4,2,1,9,4,17,6,9,10,1,4,13,3]
number_of_instances
156 [1,8,3,6,1,19,34,4,2,1,9,4,17,6,9,10,2,4,13,3]
number_of_instances
156 [1,7,3,6,1,19,35,4,2,1,9,4,17,6,9,10,2,4,13,3]
number_of_instances
156 [1,7,4,6,1,20,34,5,2,1,9,4,17,6,9,9,1,4,13,3]
number_of_instances
156 [2,8,3,5,1,20,34,4,1,1,9,4,17,6,10,10,1,3,13,4]
number_of_instances
156 [2,8,3,5,1,20,34,4,1,1,9,4,17,7,9,10,1,4,13,3]
number_of_instances
156 [2,8,3,6,1,19,34,4,2,1,9,4,17,6,9,10,1,4,13,3]
number_of_instances
156 [2,7,3,6,0,20,34,5,1,1,9,4,17,7,9,10,2,3,13,3]
number_of_instances
156 [2,7,3,6,1,20,34,4,1,1,9,4,17,7,9,10,1,4,13,3]
number_of_instances
156 [1,7,3,6,1,19,34,5,2,1,9,4,17,6,9,10,1,4,13,4]
number_of_instances
156 [2,8,3,6,0,20,34,4,2,2,9,4,16,6,9,10,1,3,13,4]
number_of_instances
156 [1,8,3,5,1,19,34,4,2,1,9,4,17,6,10,10,2,4,13,3]
number_of_instances
156 [1,7,3,6,1,20,34,4,2,1,9,4,17,6,9,10,2,4,13,3]
number_of_instances
156 [1,7,3,5,1,19,34,5,2,1,10,4,17,6,9,10,2,4,13,3]
number_of_instances
156 [2,7,3,6,1,19,34,4,2,1,9,4,16,7,9,9,2,4,13,4]
number_of_instances
156 [1,7,3,5,1,20,34,5,2,1,9,4,17,7,9,9,1,4,13,4]
number_of_instances
156 [2,7,3,5,1,19,34,5,2,1,9,4,17,7,9,10,1,4,13,3]
number_of_instances
156 [2,8,3,5,0,19,34,5,1,1,9,4,17,7,9,10,2,4,13,3]
number_of_instances
156 [2,7,3,6,1,20,34,5,1,1,9,4,17,7,9,9,1,4,13,3]
number_of_instances
156 [2,7,3,6,1,19,34,5,2,1,9,4,17,6,9,9,2,4,13,3]
number_of_instances
156 [2,8,3,6,0,19,35,4,2,1,9,4,16,6,9,10,2,3,13,4]
number_of_instances
156 [1,8,3,5,1,20,34,5,2,1,9,4,17,6,9,10,1,3,13,4]
number_of_instances
156 [1,7,3,6,1,20,34,4,2,1,9,4,17,6,9,10,2,4,13,3]
number_of_instances
156 [1,8,3,5,1,19,35,4,2,1,9,4,16,6,9,10,2,4,13,4]
number_of_instances
156 [2,7,3,6,1,19,34,4,2,1,9,4,16,7,9,9,2,4,13,4]
number_of_instances
156 [1,7,3,5,1,19,35,5,2,1,9,4,17,7,9,9,1,4,13,4]
number_of_instances
156 [2,7,3,5,1,19,34,5,2,1,9,4,17,7,9,10,1,4,13,3]
number_of_instances
156 [2,8,3,5,0,19,34,4,2,1,9,4,17,7,9,10,2,4,13,3]
number_of_instances
156 [2,8,4,5,1,19,34,5,2,1,9,4,17,7,9,9,1,3,13,3]
number_of_instances
156 [2,7,4,5,1,20,34,5,2,1,9,4,16,6,9,9,2,4,13,3]
number_of_instances
156 [2,8,3,5,1,19,34,4,2,1,9,4,17,7,9,9,2,3,13,4]
number_of_instances
156 [1,8,3,5,1,20,34,5,2,1,9,4,17,6,9,10,1,3,13,4]
number_of_instances
156 [1,7,3,6,1,20,34,4,2,2,9,4,17,6,9,10,1,4,13,3]
number_of_instances
156 [1,8,3,5,1,19,34,4,2,1,9,4,16,7,10,10,2,3,13,4]
number_of_instances
156 [1,7,3,6,1,19,34,4,2,1,9,4,17,7,9,9,2,4,13,4]
number_of_instances
156 [1,7,3,6,1,19,34,5,2,1,10,4,16,7,9,9,1,4,13,4]
number_of_instances
156 [2,7,4,5,1,19,34,5,1,1,9,4,17,7,9,10,1,4,13,3]
number_of_instances
156 [2,8,3,5,0,19,34,4,2,2,9,4,16,7,9,10,1,4,13,4]
number_of_instances
156 [2,8,4,5,1,19,35,5,2,1,9,4,16,7,9,9,1,3,13,3]
number_of_instances
156 [2,8,4,5,1,20,34,5,2,1,9,4,16,6,9,9,2,3,13,3]
number_of_instances
156 [2,7,3,5,1,19,34,5,1,1,9,4,17,7,9,9,2,4,13,4]
number_of_instances
156 [2,8,3,5,0,20,34,5,1,2,9,4,16,7,9,10,1,3,13,4]
number_of_instances
156 [1,8,4,5,1,20,34,4,2,1,10,4,17,6,9,10,1,3,13,3]
number_of_instances
156 [1,8,3,5,1,19,34,4,2,2,9,4,17,7,9,10,1,3,13,4]
number_of_instances
156 [1,7,3,6,1,19,35,4,2,1,9,4,17,7,9,10,1,4,13,3]
number_of_instances
156 [1,7,3,6,1,19,34,5,2,1,9,4,16,7,9,10,1,4,13,4]
precision
0.704478 [0,1,0,1,0,0.642857,0.944444,0,0,0,0.4,1,0.565217,0.75,0.875,0.833333,0,1,0.571429,1]
precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
0.752087 [0,1,0,1,0,0.708333,0.871795,0,0,0,0.875,1,0.684211,0.875,0.875,0.769231,0,0.8,0.714286,0.666667]
precision
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precision
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precision
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precision
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precision
0.699142 [0,1,0,1,0,0.484848,0.846154,0,0,0,0.833333,1,0.733333,0.6,0.9,0.833333,0,1,0.5,0.8]
precision
0.718333 [0,1,0,1,0,0.666667,0.942857,0,0,0,0.625,1,0.6,0.777778,0.9,0.625,0,1,0.6,0.75]
precision
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precision
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precision
0.743671 [0,1,0,1,0,0.72,0.894737,1,0,0,0.666667,1,0.45,0.875,0.75,0.666667,0,1,0.769231,1]
precision
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precision
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precision
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precision
0.694348 [0,0.875,0,0,0,0.769231,0.804878,0,0,0,0.75,1,0.7,0.625,0.888889,0.714286,0,0.8,0.9,1]
precision
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precision
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precision
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precision
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precision
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precision
0.744469 [0,1,0,1,0,0.655172,0.85,0,0,0,1,1,0.571429,0.777778,0.875,0.9,0,1,0.769231,1]
precision
0.680468 [0,1,0,0.5,0,0.59375,0.868421,0,0,0,0.7,1,0.647059,0.75,0.777778,0.727273,0,1,0.75,0.75]
precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
0.706976 [0,1,0,0.5,0,0.666667,0.894737,1,0,0,0.714286,1,0.541667,0.6,0.777778,0.818182,0,1,0.6,0.8]
precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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predictive_accuracy
0.75641
predictive_accuracy
0.75
predictive_accuracy
0.775641
predictive_accuracy
0.794872
predictive_accuracy
0.74359
predictive_accuracy
0.794872
predictive_accuracy
0.75
predictive_accuracy
0.75
predictive_accuracy
0.801282
predictive_accuracy
0.769231
predictive_accuracy
0.74359
predictive_accuracy
0.788462
predictive_accuracy
0.730769
predictive_accuracy
0.788462
predictive_accuracy
0.775641
predictive_accuracy
0.788462
predictive_accuracy
0.775641
predictive_accuracy
0.75641
predictive_accuracy
0.775641
predictive_accuracy
0.75641
predictive_accuracy
0.75
predictive_accuracy
0.782051
predictive_accuracy
0.775641
predictive_accuracy
0.775641
predictive_accuracy
0.74359
predictive_accuracy
0.775641
predictive_accuracy
0.74359
predictive_accuracy
0.775641
predictive_accuracy
0.75641
predictive_accuracy
0.724359
predictive_accuracy
0.762821
predictive_accuracy
0.75641
predictive_accuracy
0.717949
predictive_accuracy
0.782051
predictive_accuracy
0.782051
predictive_accuracy
0.801282
predictive_accuracy
0.775641
predictive_accuracy
0.685897
predictive_accuracy
0.75641
predictive_accuracy
0.74359
predictive_accuracy
0.801282
predictive_accuracy
0.724359
predictive_accuracy
0.788462
predictive_accuracy
0.74359
predictive_accuracy
0.820513
predictive_accuracy
0.74359
predictive_accuracy
0.75
predictive_accuracy
0.788462
predictive_accuracy
0.794872
predictive_accuracy
0.75641
predictive_accuracy
0.74359
predictive_accuracy
0.75
predictive_accuracy
0.75641
predictive_accuracy
0.794872
predictive_accuracy
0.782051
predictive_accuracy
0.74359
predictive_accuracy
0.75
predictive_accuracy
0.75641
predictive_accuracy
0.737179
predictive_accuracy
0.769231
predictive_accuracy
0.75641
predictive_accuracy
0.737179
predictive_accuracy
0.769231
predictive_accuracy
0.775641
predictive_accuracy
0.762821
predictive_accuracy
0.717949
predictive_accuracy
0.775641
predictive_accuracy
0.762821
predictive_accuracy
0.737179
predictive_accuracy
0.762821
predictive_accuracy
0.717949
predictive_accuracy
0.762821
predictive_accuracy
0.794872
predictive_accuracy
0.75
predictive_accuracy
0.75
predictive_accuracy
0.788462
predictive_accuracy
0.75641
predictive_accuracy
0.75
predictive_accuracy
0.730769
predictive_accuracy
0.737179
predictive_accuracy
0.782051
predictive_accuracy
0.794872
predictive_accuracy
0.775641
predictive_accuracy
0.730769
predictive_accuracy
0.737179
predictive_accuracy
0.801282
predictive_accuracy
0.782051
predictive_accuracy
0.782051
predictive_accuracy
0.74359
predictive_accuracy
0.762821
predictive_accuracy
0.75641
predictive_accuracy
0.730769
predictive_accuracy
0.737179
predictive_accuracy
0.730769
predictive_accuracy
0.74359
predictive_accuracy
0.769231
predictive_accuracy
0.814103
predictive_accuracy
0.762821
predictive_accuracy
0.75641
predictive_accuracy
0.794872
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
recall
0.75641 [0,1,0,0.6,0,0.9,1,0,0,0,0.2,0.75,0.8125,0.857143,0.777778,1,0,1,0.615385,1]
recall
0.75 [0,1,0,0,0,0.894737,1,0.25,0,0,0.555556,0,0.5625,1,0.9,1,0,1,0.692308,1]
recall
0.775641 [0,1,0,0,0,1,1,0,0,0,0.444444,1,0.6875,1,1,1,0,1,0.615385,1]
recall
0.794872 [0,1,0,0.4,0,0.9,1,0.5,0,0,0.777778,0.25,0.764706,0.833333,1,1,0,1,0.615385,1]
recall
0.74359 [0,1,0,0,0,1,1,0,0,0,0.5,0.75,0.705882,1,0.777778,1,0,1,0.384615,1]
recall
0.794872 [0,1,0,0.6,0,1,1,0,0,0,0.555556,0.5,0.75,1,0.777778,1,0,1,0.615385,1]
recall
0.75 [0,1,0,0.4,0,0.85,1,0.25,0,0,0.555556,0.5,0.375,1,1,1,0,1,0.615385,1]
recall
0.75 [0,1,0,0.6,0,0.95,1,0,0,0,0.555556,0.5,0.588235,1,0.555556,1,0,1,0.538462,1]
recall
0.801282 [0,1,0,0.4,0,0.95,1,0,0,0,0.7,0.75,0.705882,0.857143,0.777778,1,0,1,0.846154,0.666667]
recall
0.769231 [0,1,0,0.5,0,1,1,0,0,0,0.888889,0.5,0.529412,1,0.888889,1,0,1,0.384615,1]
recall
0.74359 [0,1,0,0.2,0,0.9,0.971429,0,0,0,0.666667,0.25,0.5,1,1,1,0,1,0.538462,1]
recall
0.788462 [0,1,0,0.4,0,1,1,0.25,0,0,0.9,0.25,0.705882,0.666667,0.777778,1,0,1,0.615385,1]
recall
0.730769 [0,1,0,0.2,0,0.842105,1,0.25,0,0,0.7,0.75,0.470588,1,0.888889,1,0,1,0.307692,1]
recall
0.788462 [0,1,0,0.2,0,1,1,0.25,0,0,0.555556,0.75,0.647059,0.857143,0.888889,1,0,1,0.692308,1]
recall
0.775641 [0,1,0,0.6,0,1,1,0.4,0,0,0.666667,0.5,0.470588,1,0.888889,1,0,1,0.538462,1]
recall
0.788462 [0,1,0.333333,0.4,0,0.95,1,0.5,0,0,0.333333,0.25,0.647059,1,0.888889,1,0,1,0.769231,1]
recall
0.775641 [0,1,0,0.6,0,1,1,0,0,0,0.444444,0.25,0.6875,1,1,1,0,1,0.538462,1]
recall
0.75641 [0,1,0,0.4,0,0.9,1,0,0,0,0.555556,0.25,0.529412,1,0.888889,1,0,1,0.615385,1]
recall
0.775641 [0,1,0,0,0,1,1,0,0,0,0.777778,0.75,0.588235,1,1,1,0,1,0.538462,1]
recall
0.75641 [0,1,0,0.166667,0,0.95,1,0,0,0,0.444444,0.5,0.705882,1,0.555556,1,0,1,0.846154,1]
recall
0.75 [0,1,0,0.4,0,0.95,1,0,0,0,0.444444,1,0.529412,1,0.666667,1,0,1,0.615385,1]
recall
0.782051 [0,1,0,0.6,0,0.95,1,0.25,0,0,0.444444,1,0.529412,0.833333,0.888889,1,0,1,0.769231,1]
recall
0.775641 [0,1,0,0.4,0,1,0.970588,0,0,0,0.666667,0.25,0.647059,0.833333,1,1,0,1,0.615385,1]
recall
0.775641 [0,1,0,0.6,0,0.9,0.941176,0,0,0,0.555556,0.75,0.647059,1,0.888889,1,0,1,0.615385,1]
recall
0.74359 [0,1,0,0.2,0,0.95,1,0.2,0,0,0.444444,0.5,0.588235,1,0.777778,1,0,1,0.538462,1]
recall
0.775641 [0,1,0,0.166667,0,0.95,1,0,0,0,0.777778,0.75,0.647059,0.857143,1,1,0,1,0.615385,1]
recall
0.74359 [0,1,0,0.2,0,0.947368,1,0.4,0,0,0.333333,0.5,0.470588,1,1,0.888889,0,1,0.615385,1]
recall
0.775641 [0,1,0,0.333333,0,0.95,0.970588,0,0,0,0.555556,0.5,0.647059,0.857143,1,1,0,1,0.692308,1]
recall
0.75641 [0,1,0,0.6,0,0.9,0.970588,0.2,0,0,0.555556,0.5,0.411765,1,1,1,0,1,0.692308,1]
recall
0.724359 [0,1,0,0.4,0,1,1,0,0,0,0.444444,0.25,0.529412,1,0.888889,1,0,1,0.384615,1]
recall
0.762821 [0,1,0,0.5,0,0.95,0.970588,0.25,0,0,0.666667,0.25,0.529412,1,1,1,0,1,0.538462,1]
recall
0.75641 [0,1,0,0.333333,0,0.9,1,0,0,0,0.555556,0.75,0.411765,1,1,1,0,1,0.769231,1]
recall
0.717949 [0,1,0,0,0,0.9,1,0,0,0,0.555556,0.25,0.647059,1,1,0.9,0,1,0.230769,1]
recall
0.782051 [0,1,0,0.4,0,0.95,1,0.25,0,0,0.666667,0.5,0.529412,1,0.888889,1,0,1,0.615385,1]
recall
0.782051 [0,1,0,0.6,0,0.95,1,0,0,0,0.555556,0.5,0.705882,1,1,1,0,1,0.461538,1]
recall
0.801282 [0,1,0.25,0.333333,0,0.947368,1,0.25,0,0,0.666667,0.75,0.764706,1,0.888889,1,0,1,0.615385,1]
recall
0.775641 [0,1,0,0.2,0,1,0.941176,0,0,0,0.777778,1,0.764706,0.714286,0.888889,1,0,1,0.538462,1]
recall
0.685897 [0,1,0,0.333333,0,0.75,0.970588,0,0,0,0.555556,0.5,0.529412,1,0.888889,1,0,1,0.307692,1]
recall
0.75641 [0,1,0,0.4,0,0.9,1,0.4,0,0,0.555556,0.75,0.588235,1,0.888889,0.9,0,1,0.538462,1]
recall
0.74359 [0,1,0.25,0.6,0,1,0.941176,0,0,0,0.444444,0.75,0.529412,1,0.8,0.9,0,1,0.538462,1]
recall
0.801282 [0,1,0,0.333333,0,0.9,0.970588,0.25,0,0,0.666667,0.75,0.882353,0.833333,1,1,0,1,0.615385,1]
recall
0.724359 [0,1,0,0.5,0,0.95,0.970588,0.2,0,0,0.444444,0.25,0.529412,1,0.777778,1,0,1,0.538462,1]
recall
0.788462 [0,1,0,0.666667,0,1,1,0,0,0,0.666667,0.75,0.470588,1,0.777778,1,0,1,0.769231,1]
recall
0.74359 [0,1,0,0.666667,0,0.947368,1,0.25,0,0,0.444444,0.5,0.529412,0.857143,0.777778,1,0,1,0.384615,1]
recall
0.820513 [0,1,0,0.5,0,1,1,0,0,0,0.555556,0.75,0.764706,1,1,1,0,1,0.769231,1]
recall
0.74359 [0,1,0,0.166667,0,1,0.970588,0.25,0,0,0.7,1,0.647059,1,0.666667,1,0,1,0.384615,1]
recall
0.75 [0,1,0,0,0,0.947368,1,0.2,0,0,0.444444,0.5,0.588235,1,1,1,0,1,0.538462,1]
recall
0.788462 [0,1,0.25,0.5,0,0.9,1,0.4,0,0,0.444444,0.75,0.705882,0.666667,1,1,0,1,0.769231,1]
recall
0.794872 [0,1,0,0.4,0,0.9,0.970588,0.2,0,0,0.777778,0.75,0.647059,1,1,1,0,1,0.692308,1]
recall
0.75641 [0,1,0,0.2,0,0.95,1,0.25,0,0,0.666667,0.5,0.529412,0.833333,0.777778,1,0,1,0.692308,1]
recall
0.74359 [0,1,0,0.5,0,0.95,1,0.25,0,0,0.777778,0,0.411765,1,0.888889,1,0,1,0.461538,1]
recall
0.75 [0,1,0,0.5,0,0.85,0.970588,0.2,0,0,0.777778,0.75,0.411765,1,0.888889,1,0,1,0.615385,1]
recall
0.75641 [0,1,0,0.333333,0,0.8,1,0.25,0,0,0.444444,0.5,0.529412,1,1,1,0,1,0.769231,1]
recall
0.794872 [0,1,0,0.166667,0,0.894737,1,0,0,0,0.7,0.75,0.764706,1,0.777778,1,0,1,0.769231,1]
recall
0.782051 [0,1,0,0.5,0,0.95,1,0,0,0,0.666667,0.5,0.647059,1,0.777778,0.9,0,1,0.769231,1]
recall
0.74359 [0,1,0,0.166667,0,0.736842,1,0.25,0,0,0.666667,0.25,0.588235,1,0.888889,1,0,1,0.769231,1]
recall
0.75 [0,1,0,0.5,0,0.947368,1,0,0,0,0.666667,0.75,0.588235,1,0.888889,1,0,1,0.307692,1]
recall
0.75641 [0,1,0,0.166667,0,0.95,1,0.2,0,0,0.555556,0.25,0.470588,1,0.777778,1,0,1,1,1]
recall
0.737179 [0,1,0,0.4,0,0.8,0.970588,0,0,0,0.555556,0.75,0.647059,1,0.9,1,0,1,0.384615,1]
recall
0.769231 [0,1,0,0.2,0,0.9,0.970588,0,0,0,0.555556,1,0.705882,1,1,1,0,1,0.461538,1]
recall
0.75641 [0,1,0,0.333333,0,0.842105,1,0,0,0,0.666667,1,0.529412,1,1,1,0,0.75,0.615385,1]
recall
0.737179 [0,1,0,0.333333,0,1,0.970588,0,0,0,0.444444,0.75,0.470588,0.857143,0.888889,1,0,1,0.615385,1]
recall
0.769231 [0,1,0,0.333333,0,0.9,1,0.25,0,0,0.444444,0.5,0.529412,1,1,1,0,1,0.769231,1]
recall
0.775641 [0,1,0,0.666667,0,0.894737,1,0,0,0,0.666667,0.75,0.529412,1,1,1,0,1,0.615385,1]
recall
0.762821 [0,1,0,0.166667,0,0.95,1,0,0,0,0.666667,0.25,0.6875,0.666667,1,1,0,1,0.692308,1]
recall
0.717949 [0,1,0,0.4,0,0.894737,1,0,0,0,0.666667,0.5,0.352941,0.833333,0.9,1,0,1,0.461538,1]
recall
0.775641 [0,1,0,0,0,1,0.970588,0,0,0,0.666667,0.5,0.823529,0.833333,0.888889,1,0,1,0.692308,1]
recall
0.762821 [0,1,0.333333,0.4,0,0.947368,1,0,0,0,0.6,0.75,0.588235,1,1,1,0,1,0.461538,1]
recall
0.737179 [0,1,0,0.333333,0,1,0.970588,0,0,0,0.111111,0.25,0.4375,1,1,1,0,1,0.923077,1]
recall
0.762821 [0,1,0,0.8,0,0.8,0.970588,0.2,0,0,0.444444,0.25,0.647059,0.857143,1,1,0,1,0.769231,1]
recall
0.717949 [0,1,0,0,0,1,0.970588,0.2,0,0,0.666667,0.25,0.352941,0.857143,0.888889,1,0,1,0.615385,1]
recall
0.762821 [0,1,0,0.4,0,0.947368,1,0.2,0,0,0.666667,0.25,0.588235,1,0.888889,1,0,1,0.538462,1]
recall
0.794872 [0,1,0,0.666667,0,0.95,1,0,0,0,0.666667,0.5,0.705882,1,0.777778,1,0,1,0.769231,1]
recall
0.75 [0,1,0,0.166667,0,1,0.970588,0,0,0,0.777778,0.5,0.647059,1,0.777778,0.888889,0,1,0.692308,1]
recall
0.75 [0,1,0.333333,0.166667,0,0.947368,0.971429,0,0,0,0.555556,0.5,0.5625,0.833333,0.777778,1,0,1,0.769231,1]
recall
0.788462 [0,1,0,0.2,0,0.95,1,0,0,0,0.555556,0.75,0.882353,1,1,0.9,0,1,0.538462,1]
recall
0.75641 [0,1,0.333333,0.333333,0,0.9,1,0,0,0,0.555556,0.25,0.647059,1,1,1,0,1,0.538462,1]
recall
0.75 [0,1,0,0.2,0,1,1,0.25,0,0,0.333333,0.75,0.5625,1,0.777778,1,0,1,0.538462,1]
recall
0.730769 [0,1,0,0.333333,0,0.947368,1,0.25,0,0,0.444444,0.5,0.1875,1,1,1,0.5,1,0.692308,1]
recall
0.737179 [0,1,0,0.2,0,0.894737,1,0,0,0,0.444444,0.25,0.588235,1,1,1,0,1,0.538462,1]
recall
0.782051 [0,1,0,0.4,0,0.894737,0.970588,0.2,0,0,0.555556,0.75,0.882353,1,0.777778,1,0,1,0.615385,1]
recall
0.794872 [0,1,0.333333,0.4,0,0.947368,1,0,0,0,0.777778,0.75,0.705882,1,1,1,0,1,0.461538,1]
recall
0.775641 [0,1,0,0.4,0,1,0.970588,0,0,0,0.777778,0.75,0.647059,0.857143,1,1,0,1,0.615385,1]
recall
0.730769 [0,1,0,0,0,0.95,0.970588,0,0,0,0.444444,1,0.6875,0.833333,0.888889,1,0,1,0.538462,1]
recall
0.737179 [0,1,0,0.4,0,0.842105,0.970588,0,0,0,0.777778,0.75,0.470588,0.857143,0.777778,1,0,1,0.692308,1]
recall
0.801282 [0,1,0,1,0,1,0.970588,0,0,0,0.555556,0.75,0.705882,0.833333,1,1,0,1,0.615385,1]
recall
0.782051 [0,1,0.333333,0.5,0,0.9,1,0.25,0,0,0.666667,0.75,0.588235,0.833333,0.666667,1,0,1,0.846154,1]
recall
0.782051 [0,1,0,0.2,0,0.789474,0.970588,0,0,0,0.777778,0.5,0.625,1,1,1,0,1,0.923077,1]
recall
0.74359 [0,1,0,0.166667,0,0.947368,1,0.25,0,0,0.555556,0.25,0.764706,0.857143,0.777778,1,0,1,0.461538,1]
recall
0.762821 [0,1,0,0,0,0.947368,1,0.2,0,0,0.7,0.75,0.5,1,1,1,0,1,0.615385,1]
recall
0.75641 [0,1,0,0,0,0.842105,1,0,0,0,0.444444,0.75,0.823529,1,1,0.9,0,1,0.615385,1]
recall
0.730769 [0,1,0,0,0,0.894737,1,0,0,0,0.111111,0.75,0.75,0.857143,0.777778,1,0,1,0.615385,1]
recall
0.737179 [0,1,0,0.2,0,0.947368,0.971429,0,0,0,0.444444,0.5,0.75,0.857143,0.777778,1,0,1,0.615385,1]
recall
0.730769 [0,1,0.25,0,0,0.95,1,0,0,0,0.444444,0.75,0.5,0.833333,1,1,0,1,0.615385,1]
recall
0.74359 [0,1,0.333333,0.4,0,0.894737,0.970588,0,0,0,0.666667,1,0.470588,0.857143,0.888889,1,0,1,0.538462,1]
recall
0.769231 [0,1,0,0.2,0,0.95,0.970588,0.2,0,0,0.666667,0.75,0.4375,1,0.888889,1,0,1,0.769231,1]
recall
0.814103 [0,1,0,0.6,0,0.95,0.970588,0.25,0,0,0.8,0.5,0.705882,1,1,1,0,1,0.769231,1]
recall
0.762821 [0,1,0,0.4,0,0.842105,0.970588,0.25,0,0,0.555556,0.5,0.705882,1,1,1,0,1,0.538462,1]
recall
0.75641 [0,1,0,0.166667,0,0.789474,1,0.25,0,0,0.555556,0.75,0.882353,0.857143,0.777778,1,0,1,0.461538,1]
recall
0.794872 [0,1,0,0.166667,0,1,1,0.4,0,0,0.333333,0.5,0.8125,0.857143,1,1,0,1,0.769231,1]
relative_absolute_error
0.558933
relative_absolute_error
0.541714
relative_absolute_error
0.545439
relative_absolute_error
0.551256
relative_absolute_error
0.549278
relative_absolute_error
0.525206
relative_absolute_error
0.54848
relative_absolute_error
0.527537
relative_absolute_error
0.52568
relative_absolute_error
0.523286
relative_absolute_error
0.547401
relative_absolute_error
0.536245
relative_absolute_error
0.574607
relative_absolute_error
0.54934
relative_absolute_error
0.557253
relative_absolute_error
0.514921
relative_absolute_error
0.536096
relative_absolute_error
0.55788
relative_absolute_error
0.545484
relative_absolute_error
0.555735
relative_absolute_error
0.545096
relative_absolute_error
0.542692
relative_absolute_error
0.524644
relative_absolute_error
0.555226
relative_absolute_error
0.552081
relative_absolute_error
0.546666
relative_absolute_error
0.550672
relative_absolute_error
0.541938
relative_absolute_error
0.551773
relative_absolute_error
0.56061
relative_absolute_error
0.550221
relative_absolute_error
0.536443
relative_absolute_error
0.547525
relative_absolute_error
0.532539
relative_absolute_error
0.52409
relative_absolute_error
0.524797
relative_absolute_error
0.556002
relative_absolute_error
0.56309
relative_absolute_error
0.55914
relative_absolute_error
0.559328
relative_absolute_error
0.538602
relative_absolute_error
0.555797
relative_absolute_error
0.538432
relative_absolute_error
0.536716
relative_absolute_error
0.540806
relative_absolute_error
0.549538
relative_absolute_error
0.559254
relative_absolute_error
0.550079
relative_absolute_error
0.526542
relative_absolute_error
0.548702
relative_absolute_error
0.541879
relative_absolute_error
0.550803
relative_absolute_error
0.557142
relative_absolute_error
0.521563
relative_absolute_error
0.535826
relative_absolute_error
0.562901
relative_absolute_error
0.568492
relative_absolute_error
0.551584
relative_absolute_error
0.557245
relative_absolute_error
0.549534
relative_absolute_error
0.537316
relative_absolute_error
0.580253
relative_absolute_error
0.534883
relative_absolute_error
0.54794
relative_absolute_error
0.54273
relative_absolute_error
0.572705
relative_absolute_error
0.572609
relative_absolute_error
0.563781
relative_absolute_error
0.575762
relative_absolute_error
0.546036
relative_absolute_error
0.57085
relative_absolute_error
0.551741
relative_absolute_error
0.521027
relative_absolute_error
0.5774
relative_absolute_error
0.555788
relative_absolute_error
0.565345
relative_absolute_error
0.569885
relative_absolute_error
0.53934
relative_absolute_error
0.564383
relative_absolute_error
0.547969
relative_absolute_error
0.559696
relative_absolute_error
0.548878
relative_absolute_error
0.563619
relative_absolute_error
0.5674
relative_absolute_error
0.579222
relative_absolute_error
0.556126
relative_absolute_error
0.554612
relative_absolute_error
0.551509
relative_absolute_error
0.549966
relative_absolute_error
0.540361
relative_absolute_error
0.558633
relative_absolute_error
0.573142
relative_absolute_error
0.572545
relative_absolute_error
0.550276
relative_absolute_error
0.557576
relative_absolute_error
0.560503
relative_absolute_error
0.541767
relative_absolute_error
0.554373
relative_absolute_error
0.542331
relative_absolute_error
0.536879
root_mean_prior_squared_error
0.211971
root_mean_prior_squared_error
0.211835
root_mean_prior_squared_error
0.212094
root_mean_prior_squared_error
0.211863
root_mean_prior_squared_error
0.212074
root_mean_prior_squared_error
0.211974
root_mean_prior_squared_error
0.211932
root_mean_prior_squared_error
0.211873
root_mean_prior_squared_error
0.211798
root_mean_prior_squared_error
0.212038
root_mean_prior_squared_error
0.21169
root_mean_prior_squared_error
0.211915
root_mean_prior_squared_error
0.212004
root_mean_prior_squared_error
0.211587
root_mean_prior_squared_error
0.211911
root_mean_prior_squared_error
0.21191
root_mean_prior_squared_error
0.211977
root_mean_prior_squared_error
0.211855
root_mean_prior_squared_error
0.211874
root_mean_prior_squared_error
0.211905
root_mean_prior_squared_error
0.211927
root_mean_prior_squared_error
0.211971
root_mean_prior_squared_error
0.211902
root_mean_prior_squared_error
0.211852
root_mean_prior_squared_error
0.211911
root_mean_prior_squared_error
0.211954
root_mean_prior_squared_error
0.212076
root_mean_prior_squared_error
0.211837
root_mean_prior_squared_error
0.211874
root_mean_prior_squared_error
0.211925
root_mean_prior_squared_error
0.211891
root_mean_prior_squared_error
0.211992
root_mean_prior_squared_error
0.211902
root_mean_prior_squared_error
0.211852
root_mean_prior_squared_error
0.211829
root_mean_prior_squared_error
0.211815
root_mean_prior_squared_error
0.212076
root_mean_prior_squared_error
0.211974
root_mean_prior_squared_error
0.211895
root_mean_prior_squared_error
0.21185
root_mean_prior_squared_error
0.211943
root_mean_prior_squared_error
0.211926
root_mean_prior_squared_error
0.211923
root_mean_prior_squared_error
0.211988
root_mean_prior_squared_error
0.211865
root_mean_prior_squared_error
0.212113
root_mean_prior_squared_error
0.212076
root_mean_prior_squared_error
0.211974
root_mean_prior_squared_error
0.2119
root_mean_prior_squared_error
0.211909
root_mean_prior_squared_error
0.211941
root_mean_prior_squared_error
0.211895
root_mean_prior_squared_error
0.211931
root_mean_prior_squared_error
0.211974
root_mean_prior_squared_error
0.211865
root_mean_prior_squared_error
0.212066
root_mean_prior_squared_error
0.211813
root_mean_prior_squared_error
0.211983
root_mean_prior_squared_error
0.211861
root_mean_prior_squared_error
0.211884
root_mean_prior_squared_error
0.212065
root_mean_prior_squared_error
0.21189
root_mean_prior_squared_error
0.211905
root_mean_prior_squared_error
0.212076
root_mean_prior_squared_error
0.212034
root_mean_prior_squared_error
0.212031
root_mean_prior_squared_error
0.211952
root_mean_prior_squared_error
0.212062
root_mean_prior_squared_error
0.212283
root_mean_prior_squared_error
0.211971
root_mean_prior_squared_error
0.212085
root_mean_prior_squared_error
0.212021
root_mean_prior_squared_error
0.211955
root_mean_prior_squared_error
0.212175
root_mean_prior_squared_error
0.211893
root_mean_prior_squared_error
0.211903
root_mean_prior_squared_error
0.211952
root_mean_prior_squared_error
0.211919
root_mean_prior_squared_error
0.212283
root_mean_prior_squared_error
0.211832
root_mean_prior_squared_error
0.212085
root_mean_prior_squared_error
0.212046
root_mean_prior_squared_error
0.212109
root_mean_prior_squared_error
0.212169
root_mean_prior_squared_error
0.212136
root_mean_prior_squared_error
0.211903
root_mean_prior_squared_error
0.211954
root_mean_prior_squared_error
0.212131
root_mean_prior_squared_error
0.212136
root_mean_prior_squared_error
0.21218
root_mean_prior_squared_error
0.21207
root_mean_prior_squared_error
0.212175
root_mean_prior_squared_error
0.211943
root_mean_prior_squared_error
0.212131
root_mean_prior_squared_error
0.212149
root_mean_prior_squared_error
0.211999
root_mean_prior_squared_error
0.21186
root_mean_prior_squared_error
0.21206
root_mean_prior_squared_error
0.211763
root_mean_prior_squared_error
0.212175
root_mean_squared_error
0.140917
root_mean_squared_error
0.139697
root_mean_squared_error
0.140265
root_mean_squared_error
0.138815
root_mean_squared_error
0.140741
root_mean_squared_error
0.134654
root_mean_squared_error
0.141507
root_mean_squared_error
0.135934
root_mean_squared_error
0.134799
root_mean_squared_error
0.136622
root_mean_squared_error
0.140181
root_mean_squared_error
0.136991
root_mean_squared_error
0.144679
root_mean_squared_error
0.138105
root_mean_squared_error
0.140936
root_mean_squared_error
0.13354
root_mean_squared_error
0.137195
root_mean_squared_error
0.14127
root_mean_squared_error
0.139092
root_mean_squared_error
0.142031
root_mean_squared_error
0.139622
root_mean_squared_error
0.137768
root_mean_squared_error
0.134899
root_mean_squared_error
0.141272
root_mean_squared_error
0.140937
root_mean_squared_error
0.139352
root_mean_squared_error
0.141135
root_mean_squared_error
0.137985
root_mean_squared_error
0.141155
root_mean_squared_error
0.143825
root_mean_squared_error
0.139439
root_mean_squared_error
0.139132
root_mean_squared_error
0.141622
root_mean_squared_error
0.136611
root_mean_squared_error
0.134586
root_mean_squared_error
0.134124
root_mean_squared_error
0.140216
root_mean_squared_error
0.144526
root_mean_squared_error
0.142289
root_mean_squared_error
0.142853
root_mean_squared_error
0.136365
root_mean_squared_error
0.141579
root_mean_squared_error
0.136817
root_mean_squared_error
0.137053
root_mean_squared_error
0.136019
root_mean_squared_error
0.141492
root_mean_squared_error
0.141724
root_mean_squared_error
0.139511
root_mean_squared_error
0.135236
root_mean_squared_error
0.140425
root_mean_squared_error
0.137771
root_mean_squared_error
0.140838
root_mean_squared_error
0.140637
root_mean_squared_error
0.135496
root_mean_squared_error
0.135486
root_mean_squared_error
0.142545
root_mean_squared_error
0.142335
root_mean_squared_error
0.139592
root_mean_squared_error
0.142995
root_mean_squared_error
0.138905
root_mean_squared_error
0.13952
root_mean_squared_error
0.145278
root_mean_squared_error
0.137413
root_mean_squared_error
0.13947
root_mean_squared_error
0.138691
root_mean_squared_error
0.145973
root_mean_squared_error
0.143606
root_mean_squared_error
0.143384
root_mean_squared_error
0.14448
root_mean_squared_error
0.139167
root_mean_squared_error
0.146296
root_mean_squared_error
0.140407
root_mean_squared_error
0.134106
root_mean_squared_error
0.14672
root_mean_squared_error
0.141835
root_mean_squared_error
0.141823
root_mean_squared_error
0.142511
root_mean_squared_error
0.140542
root_mean_squared_error
0.144767
root_mean_squared_error
0.140347
root_mean_squared_error
0.143512
root_mean_squared_error
0.13911
root_mean_squared_error
0.14312
root_mean_squared_error
0.14444
root_mean_squared_error
0.146264
root_mean_squared_error
0.138621
root_mean_squared_error
0.141444
root_mean_squared_error
0.139679
root_mean_squared_error
0.142512
root_mean_squared_error
0.138945
root_mean_squared_error
0.141773
root_mean_squared_error
0.145702
root_mean_squared_error
0.145562
root_mean_squared_error
0.14375
root_mean_squared_error
0.143556
root_mean_squared_error
0.142432
root_mean_squared_error
0.135911
root_mean_squared_error
0.14103
root_mean_squared_error
0.138242
root_mean_squared_error
0.136615
root_relative_squared_error
0.664796
root_relative_squared_error
0.659461
root_relative_squared_error
0.661335
root_relative_squared_error
0.655212
root_relative_squared_error
0.663639
root_relative_squared_error
0.635239
root_relative_squared_error
0.6677
root_relative_squared_error
0.641582
root_relative_squared_error
0.636451
root_relative_squared_error
0.644328
root_relative_squared_error
0.662197
root_relative_squared_error
0.646443
root_relative_squared_error
0.682434
root_relative_squared_error
0.652714
root_relative_squared_error
0.665071
root_relative_squared_error
0.630171
root_relative_squared_error
0.647214
root_relative_squared_error
0.666826
root_relative_squared_error
0.656486
root_relative_squared_error
0.670257
root_relative_squared_error
0.65882
root_relative_squared_error
0.649939
root_relative_squared_error
0.636613
root_relative_squared_error
0.666844
root_relative_squared_error
0.665076
root_relative_squared_error
0.657465
root_relative_squared_error
0.665493
root_relative_squared_error
0.651375
root_relative_squared_error
0.666223
root_relative_squared_error
0.678659
root_relative_squared_error
0.65807
root_relative_squared_error
0.656307
root_relative_squared_error
0.668337
root_relative_squared_error
0.644842
root_relative_squared_error
0.635353
root_relative_squared_error
0.633213
root_relative_squared_error
0.661157
root_relative_squared_error
0.68181
root_relative_squared_error
0.671506
root_relative_squared_error
0.674313
root_relative_squared_error
0.643404
root_relative_squared_error
0.668061
root_relative_squared_error
0.645599
root_relative_squared_error
0.646515
root_relative_squared_error
0.642008
root_relative_squared_error
0.667056
root_relative_squared_error
0.66827
root_relative_squared_error
0.658153
root_relative_squared_error
0.638205
root_relative_squared_error
0.662667
root_relative_squared_error
0.650042
root_relative_squared_error
0.664661
root_relative_squared_error
0.663602
root_relative_squared_error
0.639209
root_relative_squared_error
0.639495
root_relative_squared_error
0.672172
root_relative_squared_error
0.671983
root_relative_squared_error
0.658505
root_relative_squared_error
0.674949
root_relative_squared_error
0.655574
root_relative_squared_error
0.657913
root_relative_squared_error
0.685629
root_relative_squared_error
0.648466
root_relative_squared_error
0.657642
root_relative_squared_error
0.6541
root_relative_squared_error
0.688449
root_relative_squared_error
0.677542
root_relative_squared_error
0.676141
root_relative_squared_error
0.680601
root_relative_squared_error
0.656537
root_relative_squared_error
0.689799
root_relative_squared_error
0.66223
root_relative_squared_error
0.632707
root_relative_squared_error
0.691502
root_relative_squared_error
0.669369
root_relative_squared_error
0.669281
root_relative_squared_error
0.672373
root_relative_squared_error
0.663186
root_relative_squared_error
0.681954
root_relative_squared_error
0.66254
root_relative_squared_error
0.676675
root_relative_squared_error
0.656036
root_relative_squared_error
0.674749
root_relative_squared_error
0.68078
root_relative_squared_error
0.689482
root_relative_squared_error
0.65417
root_relative_squared_error
0.667335
root_relative_squared_error
0.658453
root_relative_squared_error
0.671793
root_relative_squared_error
0.654843
root_relative_squared_error
0.668521
root_relative_squared_error
0.686707
root_relative_squared_error
0.686796
root_relative_squared_error
0.677647
root_relative_squared_error
0.676677
root_relative_squared_error
0.671855
root_relative_squared_error
0.641513
root_relative_squared_error
0.665049
root_relative_squared_error
0.652815
root_relative_squared_error
0.643881
total_cost
0
total_cost
0
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0
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